Reva Freedman

14 papers and 105 indexed citations i.

About

Reva Freedman is a scholar working on Artificial Intelligence, Information Systems and Developmental and Educational Psychology. According to data from OpenAlex, Reva Freedman has authored 14 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Developmental and Educational Psychology. Recurrent topics in Reva Freedman’s work include Speech and dialogue systems (7 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers) and Natural Language Processing Techniques (4 papers). Reva Freedman is often cited by papers focused on Speech and dialogue systems (7 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers) and Natural Language Processing Techniques (4 papers). Reva Freedman collaborates with scholars based in United States and South Korea. Reva Freedman's co-authors include Martha Evens, Michael Glass, Joel Michael, Yujian Zhou, Yuemei Zhang, Allen A. Rovick, Jung Hee Kim and Hamed Alhoori and has published in prestigious journals such as Artificial Intelligence in Medicine, Discourse Processes and Journal of Informetrics.

In The Last Decade

Co-authorship network of co-authors of Reva Freedman i

Fields of papers citing papers by Reva Freedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reva Freedman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Reva Freedman. The network helps show where Reva Freedman may publish in the future.

Countries citing papers authored by Reva Freedman

Since Specialization
Citations

This map shows the geographic impact of Reva Freedman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Reva Freedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reva Freedman more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025